Data Collection and Labeling: Strategies for Enhancing Machine Learning Capabilities

Data Collection and Labeling Industry | Forecast 2030

The global market size for data collection and labeling was estimated at USD 2.22 billion in 2022 and is anticipated to grow at a CAGR of 28.9% from 2023 to 2030. The combination bundle is designed to provide a holistic view of these highly dynamic market spaces. Further, the market is expected to witness a surge in technology adoption owing to benefits such as extracting business insights from socially shared pictures and auto-organizing untagged photo collections.

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With the growing implementation of Electronic Health Record (EHR) systems, the accumulation of clinical data, including unstructured text documents, has become one of the valuable resources for clinical research. Statistical Natural Language Processing (NLP) models have been developed to unlock information embedded in clinical text. Additionally, text labeling is highly utilized in social media monitoring due to improvements in sentiment analysis. E-commerce companies use social media data to influence their customers to purchase. By utilizing image labeling, consumers shopping online can search for clothing or accessories by simply taking a picture of the desired texture, print, or color using their smartphone. The captured photo is uploaded to an app that uses AI technology to search an inventory of products and find similar items based on the visual characteristics of the uploaded image.

Data Collection Market Insights

The global data collection market size was valued at USD 1.41 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 30.1% from 2023 to 2030. Data collection involves gathering, acquiring, and aggregating data from various sources. It encompasses various methods and technologies for collecting data, including sensor networks, web scraping, and more. The data collected can be structured or unstructured and come from different domains, such as social media, healthcare, and finance. The exponential growth of digital information has led to the emergence of big data. Businesses and organizations across industries recognize the value of data in making informed decisions, improving operations, and gaining competitive advantages. As a result, there is a growing demand for data collection services to acquire and manage large volumes of data.

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E-commerce websites, social media platforms, and online forums have become rich sources of valuable data. Enterprises seek to extract insights from user-generated content, online reviews, and social media interactions. Data collection techniques like web scraping and sentiment analysis are used to gather and analyze data from these platforms. Furthermore, the Internet of Things (IoT) enabled data collection from interconnected devices and sensors. Industries like manufacturing, healthcare, transportation, and agriculture leverage IoT devices to collect real-time data on production processes, patient health, vehicle performance, and environmental conditions. Data collection market players offer solutions to collect, store, and analyze this IoT-generated data.